With　increasing　demands　of　machining　accuracy,　designing　of　machine　tools　for　satisfactory　performance　using　cost-effective　geometric　accuracy　configurations　is　becoming　a　complex　problem　to　the　machine　tool　manufacturers.　In　this　paper,　a　novel　robust　accuracy　allocation　method　is　proposed　for　multi-axis　machine　tools　based　on　multi-objective　quality　and　cost　trade-offs.　To　model　the　volumetric　accuracy　of　machine　tool　based　on　geometric　errors,　the　multi-body　system　theory　was　introduced.　A　manufacturing　cost　model　for　the　machine　tool　components　with　a　significant　effect　on　geometric　errors　was　established　based　on　the　machining　features.　The　quality　loss　of　the　machine　tool　was　also　integrated　into　a　single　optimization　objective.　After　identifying　the　relationship　between　the　accuracy　grade　parameters　of　the　feeding　components　and　the　geometric　errors,　the　maximum　in　the　Euclidean　norm　of　all　the　accuracy　parameters　was　defined　as　another　optimization　objective.　The　robust　accuracy　allocation　was　performed　using　Isight　software　and　the　Non-Dominated　Sorting　Genetic　Algorithm-II　built　in　the　MATLAB.　The　optimization　results　for　a　four-axis　horizontal　machining　center　showed　that　the　proposed　method　can　realize　the　optimization　of　geometric　accuracy　and　can　determine　the　optimal　accuracy　grade　of　the　feeding　components　satisfying　the　machining　accuracy　requirements.